Étude fonctionnelle-structurelle de deux extraits de manuels anciens de géométrie
Bibliographic record
Abstract
Cet article vise à montrer l’utilité d’une approche fonctionnelle-structurelle pour l’étude des manuels scolaires en mathématiques. L’approche s’inspire de trois sources : la théorie des fonctions du langage de Duval, le modèle des fonctions du langage dans la communication de Jakobson et le modèle des structures sémiotiques développé par Richard. Après avoir présenté l’approche dans la première partie, nous l’appliquons ensuite à l’analyse de deux courts textes, tirés des manuels de géométrie qui ont été en usage au Québec, dans les écoles secondaires de langue française. L’intention adidactique qui se dégage des deux textes montre comment les moyens sémiotiques mobilisés sont mis au sevice de la qualité de la communication avec l’éventuel lecteur.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".